NeuralPGRank/hotpotqa-hard-negatives
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资源简介：
该数据集包含一组用于第二阶段重新排序的候选文档，这些候选文档由从gtr-t5-xl挖掘的硬负样本和已知与查询相关的真实文档组成。这是来自论文《Policy-Gradient Training of Language Models for Ranking》的发布，如果使用此数据集，请引用该论文。
This dataset contains a set of candidate documents for second-stage re-ranking on hotpotqa (test split in BEIR). Those candidate documents are composed of hard negatives mined from gtr-t5-xl as Stage 1 ranker and ground-truth documents that are known to be relevant to the query. This is a release from our paper Policy-Gradient Training of Language Models for Ranking, so please cite it if using this dataset.
提供机构：
NeuralPGRank
